Journal of Management Research and Review (JMRR)

Artificial Intelligence in Recruitment: A Review of Efficiency Claims, Bias Risks, And the Governance Imperative for HR Practice

Akram, Mehmoona, Hussain, Syeda Fatima, Anwar, Raja Muneeb

19 August 2026 · Vol. 2, Issue 8, pp. 640-642

DOI: 10.65150/EP-jmrr/V2E8/2026-10

Abstract

Artificial intelligence has diffused rapidly through the recruitment function, from automated résumé screening and chatbot-led candidate engagement to algorithmic assessment and predictive analytics, and vendors and adopters advance strong claims about efficiency and quality-of-hire gains. Simultaneously, high-profile failures have made algorithmic hiring a focal case in debates about automated discrimination and its regulation. This paper reviews the multidisciplinary literature on AI in recruitment — spanning human resource management, information systems, computer science research on algorithmic fairness, and the emerging regulatory scholarship — to assess what is credibly known about its benefits, its risks, and the conditions that separate the two. The review finds robust evidence for process-efficiency gains but thin and mixed evidence for quality-of-hire improvement; a well-established taxonomy of bias mechanisms (training data bias, proxy discrimination, and feedback loops) with documented instances in deployed systems; and an emerging governance literature converging on auditability, human oversight, and outcome monitoring as the practices that condition whether adoption helps or harms diversity outcomes. The paper develops a governance-centred framework for HR practice, maps it against incoming regulation including the EU AI Act's classification of employment AI as high-risk, and sets out a research agenda focused on the gap between vendor claims and independently verifiable outcomes.

Keywords: artificial intelligence, recruitment, algorithmic bias, HR analytics, talent acquisition, AI governance, EU AI Act, literature review

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Akram, Mehmoona, Hussain, Syeda Fatima, Anwar, & Raja Muneeb (2026). Artificial Intelligence in Recruitment: A Review of Efficiency Claims, Bias Risks, And the Governance Imperative for HR Practice. Journal of Management Research and Review, 2(8), 640-642. https://doi.org/10.65150/EP-jmrr/V2E8/2026-10

@article{Akram2026,
  title   = {Artificial Intelligence in Recruitment: A Review of Efficiency Claims, Bias Risks, And the Governance Imperative for HR Practice},
  author  = {Akram and Mehmoona and Hussain and Syeda Fatima and Anwar and Raja Muneeb},
  journal = {Journal of Management Research and Review},
  year    = {2026},
  volume  = {2},
  number  = {8},
  pages   = {640-642},
  doi     = {10.65150/EP-jmrr/V2E8/2026-10},
  url     = {https://doi.org/10.65150/EP-jmrr/V2E8/2026-10}
}

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